SBCF-IV:

Jens Klenke

University of Duisburg-Essen

Lennard Maßmann

University of Duisburg-Essen

Ruhr Graduate School

2025-05-16

Outline

  EfeMOD Project

  Motivation and Objective

  Data

  Empirical Approach

  Results

  Conclusion / Outlook

EfeMOD

Empirisch fundierte Elektrizitätsmarkt-Modellierung mit Open Data

Project Entities:

Chair of Prof. Dr. Christoph Weber (Management Sciences and Energy Economics)

Chair of Prof. Dr. Florian Ziel (Data Science in Energy and Environment)

  Project Goal:

Use publicly available data (particularly ENTSO-E Transparency Platform) to estimate parameters for energy system and energy market models.

New Slide

Hallo World!

EfeMOD

Motivation and Objective

Identification of Power Plant Operation States Using Clustering

Gain Knowledge about the Power Plant Characteristics

  • Operation Points,
  • Efficiency
  • Capacity, etc.

This Presentation:

Identify Operation States:

  • Stable Operation
  • Startup
  • Minimum-Stable Operation, etc.

Provide these characteristics to other researchers

e.g. to estimate efficiency

Prior Partitioning

Model-Based Clustering of the Regions using mclust::Mclust in R.

  • Stable: 2-5 Clusters
  • Ramp Up: 2-4 Clusters
  • Ramp Down: 2-4 Clusters

Obtain finite mixture distribution:

\[\sum_{k=1}^{G}{\pi_k f_k (\mathbf{x}; \mathbf{\theta}_k)}\]

\(f_k\) Density of k’s component
\(\pi_k\) Mixture weights
\(\theta_k\) parameters of k’s density component

Try equations

\[ x =\sum_{i = 1}^{6} x_i \tag{1} \label{eq:einste} \]

\[ E = mc^2 \tag{2} \label{eq:eiein} \]

And here we reference equation (\(\ref{eq:einste}\)) again.

Energy Policy

According to recent studies, electricity markets are changing rapidly (Smith, 2020).

References

Smith, J. (2020). Energy markets and climate policy. Energy Economics, 88, 104739.